Daniele Marchisio

Daniele Marchisio is a Full Professor at the Department of Applied Science and Technology (DISAT) at the Polytechnic University of Turin. He serves as a Member of the Equality Committee and the University Open Access Commission. His academic journey began with a degree in Chemical Engineering from the Polytechnic University of Turin in 1997, followed by a PhD in 2001 from the same institution in collaboration with Iowa State University.

His educational background includes:

• Bachelor's degree in Chemical Engineering (cum laude) from Polytechnic University of Turin (1997)
• PhD in Chemical Engineering from Polytechnic University of Turin in collaboration with Iowa State University (2001)

Professor Marchisio's research focuses on multiscale computational methods for polydisperse particulate and multiphase flows. His work spans several key areas including precipitation and crystallization processes, particle aggregation and dispersion, nanoparticle formation in combustion, bubble columns, gas-liquid stirred reactors, turbulent liquid-liquid dispersions, and fluidized beds. He combines molecular dynamics with continuum modeling to develop innovative approaches in computational fluid dynamics, dissipative particle dynamics, mesoscopic modeling, and population balance methods. His research has significant applications in battery materials production and recycling, pharmaceutical processes, biomethanation, and aqueous phase reforming.

His publication record demonstrates strong focus on multiphase systems, crystallization processes, and battery technology. Recent work shows increasing integration of machine learning techniques with traditional computational methods, particularly for parameter identification and optimization in complex chemical processes. His research bridges fundamental computational methods with practical industrial applications across energy, materials, and chemical engineering domains.

Professor Marchisio has received several prestigious scientific awards:

• Most cited paper for Chemical Engineering Science (Elsevier, 2007)
• Sciencedirect top 25 most downloaded article (Elsevier, 2010)
• Abilitazione Scientifica Nazionale - prima fascia - 09/D2 (MIUR, Italy, 2014)
• Highly cited paper for the International Journal of Multiphase Flow (Elsevier, Netherlands, 2016)

As an academic advisor, Professor Marchisio has supervised numerous PhD students working on cutting-edge research topics including magnesium hydroxide precipitation, lithium-ion battery modeling, and computational fluid dynamics applications. His research is supported by significant funding from multiple sources including European Union projects (H2020, Horizon Europe), national research programs (PRIN), and industry collaborations. Current major projects include BATCAT (Battery Cell Assembly Twin), NESSF (Non-equilibrium self-assembly of structured fluids), HPC Spoke 7, BIG-MAP, and SEArcularMINE.

Professor Marchisio leads the Multiscale Modelling for Materials Science and Process Engineering research group within DISAT. His team specializes in developing integrated computational frameworks that bridge molecular-scale phenomena with continuum-level engineering applications. The group maintains strong collaborations with international institutions including Beijing University of Chemical Technology, CSIRO in Melbourne, and University College London. Their work has direct applications in sustainable engineering, clean energy technologies, and advanced materials development aligned with several UN Sustainable Development Goals.